🛠️ All DevTools

[Other] A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.

[Other] Show HN: DeepRepo – AI architecture diagrams from GitHub repos

[Other] An Introduction to Writing Systems and Unicode

[Other] Show HN: /slot-machine development (CC vs. Codex; CE vs. superpowers) I built an opensource skill that runs N implementations in parallel, has each one reviewed blind by a separate agent, then a judge picks the winner or synthesizes the best parts of each.<p>Each slot can use a different skill (CE:work in one vs superpowers:test-driven-development) and harness (CC vs. Codex). Or put different emphasis on each slot (functional vs. robustness). Also works for non-coding tasks (writing) and you can create custom slot-machines.<p>The main insight is simple enough: AI agents are probabilistic. The same spec produces different code every time; different designs, different bugs, different quality.So running parallel implementations can increase quality if we can judge effectively.<p>There is a real tradeoff here of increased time and tokens for quality but for production code this is often worth it; particularly on long running overnight loops on subscription plans. Also a simple way to learn which skills and harnesses actually work best for your codebase.<p>Appreciate any feedback &#x2F; PRs. This is early!

[Other] Emacs-libgterm: Terminal emulator for Emacs using libghostty-vt

[Other] Show HN: BreezePDF – Free, in-browser PDF editor BreezePDF lets you edit, sign, merge, compress, redact, OCR, fill forms, extract tables, and use 30+ more PDF tools — all in the browser, no sign-up. Files never leave your computer.<p>I built it because when people search Google for common PDF tasks, many of the tools they find upload documents to a server. I wanted an option that keeps files local instead.<p>I posted an earlier version on HN last spring: <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=43880962">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=43880962</a><p>At the time it only supported a small set of features. Over the last 10 months I rebuilt large parts of it and expanded it to nearly 40 tools, including several ideas that came from comments in that earlier thread.<p>There is also now a desktop app for macOS, Windows, and Linux, plus a CLI&#x2F;SDK for developers.

[CLI Tool] A maintained, feature-rich and performance oriented, neofetch like system information tool.

[Other] Show HN: Sheet Ninja – Google Sheets as a CRUD Back End for Vibe Coders

[Other] Lat.md: Agent Lattice: a knowledge graph for your codebase, written in Markdown

[Other] Show HN: Home Maker: Declare Your Dev Tools in a Makefile A developer&#x27;s machine accumulates tools fast. A Rust CLI you compiled last year, a Python formatter installed via `uv`, a language server pulled from npm, a terminal emulator from a curl script, a Go binary built from source. Each came from a different package manager, each with its own install incantation you half-remember.<p>I wanted a way to declare what I need without adopting a complex system like Nix or Ansible just for a single laptop. The result was a plain old Makefile.<p>I wrote a short post on using Make (along with a tiny bash script and fzf) to create a searchable, single-command registry for all your local dev tools. It’s not a new framework or a heavy tool—just a simple way to organize the package managers we already use.<p>If you&#x27;re tired of losing track of your local environment, you might find it useful.

[Other] TreeTrek – A raw Git repository viewer web app

[Other] Show HN: QuickBEAM – run JavaScript as supervised Erlang/OTP processes QuickBEAM is a JavaScript runtime embedded inside the Erlang&#x2F;OTP VM.<p>If you’re building a full-stack app, JavaScript tends to leak in anyway — frontend, SSR, or third-party code.<p>QuickBEAM runs that JavaScript inside OTP supervision trees.<p>Each runtime is a process with a `Beam` global that can: - call Elixir code - send&#x2F;receive messages - spawn and monitor processes - inspect runtime&#x2F;system state<p>It also provides browser-style APIs backed by OTP&#x2F;native primitives (fetch, WebSocket, Worker, BroadcastChannel, localStorage, native DOM, etc.).<p>This makes it usable for: - SSR - sandboxed user code - per-connection state - backend JS with direct OTP interop<p>Notable bits:<p>- JS runtimes are supervised and restartable - sandboxing with memory&#x2F;reduction limits and API control - native DOM that Erlang can read directly (no string rendering step) - no JSON boundary between JS and Erlang - built-in TypeScript, npm support, and native addons<p>QuickBEAM is part of Elixir Volt — a full-stack frontend toolchain built on Erlang&#x2F;OTP with no Node.js.<p>Still early, feedback welcome.

[Other] Show HN: Git bayesect – Bayesian Git bisection for non-deterministic bugs

[Other] Show HN: I built an OS that is pure AI I&#x27;ve been building Pneuma, a desktop computing environment where software doesn&#x27;t need to exist before you need it. There are no pre-installed applications. You boot to a blank screen with a prompt. You describe what you want: a CPU monitor, a game, a notes app, a data visualizer and a working program materializes in seconds. Once generated, agents persist. You can reuse them, they can communicate with each other through IPC, and you can share them through a community agent store. The idea isn&#x27;t that everything is disposable. It&#x27;s that creation is instant and the barrier to having exactly the tool you need is just describing it.<p>Under the hood: your input goes to an LLM, which generates a self-contained Rust module. That gets compiled to WebAssembly in under a second, then JIT-compiled and executed in a sandboxed Wasmtime instance. Everything is GPU-rendered via wgpu (Vulkan&#x2F;Metal&#x2F;DX12). If compilation fails, the error is automatically fed back for correction. ~90% first-attempt success rate.<p>The architecture is a microkernel: agents run in isolated WASM sandboxes with a typed ABI for drawing, input, storage, and networking. An agent crash can&#x27;t bring down the system. Agents can run side by side, persist to a local store, and be shared or downloaded from the community store.<p>Currently it runs as a desktop app on Linux, macOS, and Windows. The longer-term goal is to run on bare metal and support existing ARM64 binaries alongside generated agents. A full computing environment where AI-generated software and traditional applications coexist.<p>Built entirely in Rust.<p>I built this because I think the traditional software model of find an app, install it, learn it, configure it; is unnecessary friction. If a computer can generate exactly the tool you need in the moment you need it, and then keep it around when it&#x27;s useful, why maintain a library of pre-built software at all?<p>Free tier available (no credit card). There&#x27;s a video on the landing page showing it in action.<p>Interested in feedback on the concept, the UX, and whether this is something you&#x27;d actually use.

[Other] OpenCiv1 – open-source rewrite of Civ1

[Other] Show HN: We built a multi-agent research hub. The waitlist is a reverse-CAPTCHA Hey HN,<p>Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (<a href="https:&#x2F;&#x2F;www.technologyreview.com&#x2F;2026&#x2F;03&#x2F;20&#x2F;1134438&#x2F;openai-is-throwing-everything-into-building-a-fully-automated-researcher&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.technologyreview.com&#x2F;2026&#x2F;03&#x2F;20&#x2F;1134438&#x2F;openai-i...</a>). However, there is a very real possibility that much of this corporate research will remain closed to the general public.<p>To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research.<p>It&#x27;s a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated peer reviews on each other&#x27;s work to build consensus.<p>The MVP is almost done, but before launching, we wanted to filter the waitlist for developers who actually know how to orchestrate agents.<p>Because of this, there is no real UI on the landing page. It&#x27;s an API handshake. Point your LLM agent at the site and see if it can figure out the payload to whitelist your email.

[Other] Spanish legislation as a Git repo

[Other] Show HN: Open Source 'Conductor + Ghostty' Our team works with Claude Code, Codex, Gemini all day. We love Ghostty, but wanted something where we could work in multiple worktree at once and have multiple agents run.<p>We decided to open source the internal team we use. Hope you might find it useful. Freel free to contribute or fork.<p><pre><code> * Cross-platform (Mac, Linux, Windows) all tested * MIT License </code></pre> Features: * Notifications, but also manual &#x27;mark-as-unread) for worktrees (like Gmail stars) * Status indicators work for all terminals inside a wroktree * GH integrations (show PR status) and link GH issues * Can add comments to worktrees (stay organized) * File viewer, Search, diff viewer (can make edits + save)<p>Note: Yeah there are &quot;similar&quot; programs out there, but this one is ours. But I&#x27;m happy if our software works for you too!

[Other] Show HN: Kagento – LeetCode for AI Agents I built a platform where you solve tasks together with AI agents (Claude Code, Codex, Cursor — any agent via SSH).<p>Isolated sandbox environments, automated test scoring, global leaderboard. Tasks range from easy (AI one-shots it) to hard (requires human help).<p>Some tasks use optimization scoring — your score recalibrates when someone beats the best result.<p>Built it in 6 days as a solo founder. 100% of code written with Claude Code and Codex. Stack: Go, Next.js, K8s, Supabase, Stripe.

[Other] Namespace: We've raised $23M to build the compute layer for code